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FullStory MCP Server for Google ADK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add FullStory as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="fullstory_agent",
    instruction=(
        "You help users interact with FullStory "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
FullStory
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IAMAccess control
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About FullStory MCP Server

Connect your FullStory account to any AI agent to automate your digital experience intelligence (DXI) and product analytics workflows through the Model Context Protocol (MCP). FullStory provides a comprehensive view of how users interact with your site or app. This MCP server enables you to manage user profiles, track server-side events, and retrieve session metadata and playback links directly through natural conversation.

Google ADK natively supports FullStory as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

Key Features

  • User Lifecycle Management — List all captured users, fetch detailed profile metadata, and upsert records to maintain accurate identity mapping.
  • Session Oversight — Retrieve a list of recording sessions for specific users and access playback URLs to visualize the customer journey.
  • Interaction Events — Fetch the complete set of captured events (clicks, navigations, custom events) for any specific session ID.
  • Server-Side Tracking — Log custom interaction events programmatically from your backend to enrich your FullStory datasets.
  • Segment Discovery — Access and list configured user segments to understand high-level audience behavior.
  • Data Exports — Monitor and list generated raw data bundles for deeper analytical processing.
  • Privacy Compliance — Programmatically delete user data to support GDPR and CCPA requests via simple AI commands.

The FullStory MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect FullStory to Google ADK via MCP

Follow these steps to integrate the FullStory MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 11 tools from FullStory via MCP

Why Use Google ADK with the FullStory MCP Server

Google ADK provides unique advantages when paired with FullStory through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with FullStory

03

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

04

Seamless integration with Google Cloud services means you can combine FullStory tools with BigQuery, Vertex AI, and Cloud Functions

FullStory + Google ADK Use Cases

Practical scenarios where Google ADK combined with the FullStory MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query FullStory and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine FullStory tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query FullStory regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including FullStory

FullStory MCP Tools for Google ADK (11)

These 11 tools become available when you connect FullStory to Google ADK via MCP:

01

create_event

Automatically mapped for server-side metrics injection that bypassed the frontal JavaScript client. Dispatch a custom backend event into FullStory

02

create_update_user

Used to synchronize custom tenant data into the FullStory analytics boundary for enhanced session context. Upsert a user identity into FullStory tracking

03

delete_user

Permanently removes privacy-sensitive telemetry, custom property links, and session aggregations inside FullStory. Erase a user profile and their associated session history

04

get_account_info

Validates live integration capability and fetches workspace scope definitions. Verify authentication and retrieve basic platform stats

05

get_session

Resolves page transitions, total active time, event markers, and active direct access tracking links. Retrieve deep metadata for a specific session recording

06

get_session_events

Exposes click trails, navigation mutations, error logs, and precise structural DOM changes. Fetch the chronological telemetry events for a session

07

get_user

Retrieves raw session metadata, total session durations, custom variables, and cross-device interaction boundaries. Get full tracking profile and behavior history for a specific user

08

list_exports

Resolves the status of bulk data offloads, processing states, and download URIs for warehouse ingestion. List raw data export jobs available for download

09

list_segments

Resolves saved audience definitions, population counts across the last 30 days, and logical filter structures. List dynamic audience segments built in FullStory

10

list_sessions

Resolves a subset of sessions matching provided JSON query criteria, exposing playback links, browser signatures, and metric overlays. List or search session recordings based on telemetry

11

list_users

Resolves user identities, custom parameters, session counts, and aggregate behavioral profiles across the analytics boundary. Query the FullStory subscriber and visitor directory for analytics

Example Prompts for FullStory in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with FullStory immediately.

01

"List the last 5 sessions for user UID 'user_12345'."

02

"Show me the full profile details for FullStory ID '123:456'."

03

"Track a server event 'Subscription Renewed' for user 'johndoe@email.com'."

Troubleshooting FullStory MCP Server with Google ADK

Common issues when connecting FullStory to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

FullStory + Google ADK FAQ

Common questions about integrating FullStory MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect FullStory to Google ADK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.